{"id":"W2060579547","doi":"10.1007/s00464-004-8209-2","title":"Video analysis of endoscopic cutting task performed by one versus two operators","year":2005,"lang":"en","type":"article","venue":"Surgical Endoscopy","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Task (project management); Dyad; Multivariate analysis of variance; Operator (biology); Rotation (mathematics); Computer vision; Computer science; Artificial intelligence; Psychology; Social psychology; Engineering; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008168256,0.0002062259,0.0004795137,0.0003119746,0.0002020634,0.00005639334,0.0002758109,0.00007445148,0.002846664],"category_scores_gemma":[0.0004704137,0.000190745,0.0002786738,0.001203818,0.0001360521,0.0003657136,0.00006022646,0.0003263117,0.000214265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009546083,"about_ca_system_score_gemma":0.00004939146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001621299,"about_ca_topic_score_gemma":0.00005198715,"domain_scores_codex":[0.9979434,0.0001728929,0.0004973839,0.0005028133,0.0004441115,0.0004394139],"domain_scores_gemma":[0.997934,0.001289242,0.0001565545,0.0003781073,0.00005231669,0.0001897801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009485255,0.0007262883,0.004028051,0.00001626321,0.0004855771,0.00004573497,0.0006355502,0.002174049,0.9844107,0.002042096,0.001046754,0.003440396],"study_design_scores_gemma":[0.004500488,0.0001519628,0.0001085738,0.00001549422,0.0003501728,0.000004475593,0.0001007956,0.005056356,0.9232085,0.00000467363,0.06631828,0.0001802258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981309,0.00004090819,0.00003775981,0.0003144348,0.0003185661,0.0001316337,0.00009735049,0.00008822761,0.01766211],"genre_scores_gemma":[0.9981128,0.0001182395,0.0002424678,0.0002192757,0.0001417789,0.00002057573,0.00002010423,0.00001977454,0.001105003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06527153,"threshold_uncertainty_score":0.9980649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03445064036937544,"score_gpt":0.3255842476217517,"score_spread":0.2911336072523762,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}